A machine learning tool that analyzes information already captured in a child's electronic health record helped pediatricians ...
Sometimes, the best response for a predictive ML system is to pause, acknowledge that it does not have enough information and ...
The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...
A research team examined how pregnant people expect AI-powered health tools to support stress management and desire systems ...
This research assesses data provenance in widely used health datasets, revealing flaws that could undermine clinical prediction models and patient care.
Some AI models designed to predict stroke and diabetes risk may be based on datasets whose origins cannot be verified, ...
The study published in the journal BMC Medicine was led by researchers at the Queensland University of Technology and the ...
AI tools are proliferating across pulmonary medicine and critical care, with promising early results in diagnostics and ...
Recent technological advances have opened valuable possibilities for supporting people with motor impairments or who are ...
In a suburb of east London, an illegal tip has been catching alight for years. Although residents and experts suspect it is ...
A researcher at LSU Health Shreveport has been awarded a grant of just over $200,000 to study how to predict and prevent heat illness in student-athletes.
The Think Family Database holds records on close to half a million people who live in the city of Bristol, England. For many years, few of them knew anything about it. Launched in 2016 by the Bristol ...
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